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Junior Ai Data Analyst Jobs (NOW HIRING)

RELX Group plc

AI Data Analyst

Alpharetta, GA · On-site

We are seeking an AI Data Analyst to support teams in preparing and maintaining AI-ready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

RELX

AI Data Analyst

Minneapolis, MN

We are seeking an AI Data Analyst to support teams in preparing and maintaining AIready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

RELX

AI Data Analyst

Alpharetta, GA

We are seeking an AI Data Analyst to support teams in preparing and maintaining AIready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

RELX

AI Data Analyst

Dayton, OH · On-site

We are seeking an AI Data Analyst to support teams in preparing and maintaining AIready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

RELX

AI Data Analyst

Boca Raton, FL · On-site

We are seeking an AI Data Analyst to support teams in preparing and maintaining AIready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality ...

Burlington

AI Data Scientist

Edgewater Park, NJ · On-site

$80K - $105K/yr

Position Overview As a Junior AI Data Scientist, you will support business areas including Merchandising, Allocations, Marketing, IT and Supply Chain Analytics teams with insights gained from ...

Framatome North America

AI Data Analyst

Lynchburg, VA · On-site

$85K - $116K/yr

Why This Role Is Critical The AI Data Analyst role is critical to Framatome's ability to transform data into actionable insights that support operational efficiency, strategic decision-making, and ...

ITR Group

Junior AI Engineer

Minneapolis, MN · On-site

Work with structured and unstructured data sources to improve AI response quality. * Integrate AI ... Strong problem-solving and analytical skills. * Experience with Microsoft Azure cloud services.

ManTech

Junior AI/ML Strategist

Arlington, VA · Hybrid

$98K - $163K/yr

MANTECH seeks a motivated, career, and client-oriented Junior AI/ML Strategist to join our team in ... Data & Process Analysis: Gather, analyze, and interpret data pipelines to identify process ...

Brooksource

Junior AI Engineer

Charlotte, NC · On-site

Junior AI Engineer - Enterprise Contact Center Location: Charlotte, NC - Hybrid (3x per week onsite ... Academic, personal, or project-based experience in AI, ML, generative AI, or data science.

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Junior Ai Data Analyst information

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$34.5K

$79.4K

$127.5K

How much do junior ai data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for junior ai data analyst in the United States is $79,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,000.00 and $81,500.00 per year, depending on experience, location, and employer.

What does a Junior AI Data Analyst do?

A Junior AI Data Analyst assists in gathering, cleaning, and interpreting data used in artificial intelligence projects. They support the data science team by preparing datasets, running basic analyses, and generating reports to help improve AI models. Common tasks include data preprocessing, quality checks, and visualizing data trends. This entry-level role is ideal for individuals with strong analytical skills and an interest in machine learning and AI.

What are the key skills and qualifications needed to thrive as a Junior AI Data Analyst, and why are they important?

To thrive as a Junior AI Data Analyst, you need a solid understanding of data analysis, statistics, and programming languages such as Python or R, often supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), machine learning libraries, and SQL databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for extracting actionable insights from complex datasets and supporting data-driven decision-making in AI projects.

What are some common challenges faced by Junior AI Data Analysts when working with large datasets, and how can they overcome them?

Junior AI Data Analysts often encounter challenges such as data quality issues, inconsistent data formats, and managing large volumes of information. Overcoming these challenges typically involves learning effective data cleaning techniques, using tools like Python’s pandas or SQL for preprocessing, and collaborating closely with senior analysts or data engineers. Developing strong attention to detail and asking clarifying questions about data sources can also help ensure accurate analysis. Regular communication with the team and leveraging documentation or mentorship opportunities are key strategies for tackling these obstacles.

What is the difference between Junior Ai Data Analyst vs Data Scientist?

AspectJunior Ai Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related field; basic knowledge of AI toolsBachelor's or Master's in Data Science, Statistics, or related; advanced skills in machine learning
Work EnvironmentEntry-level, team-based projects, data analysis, reportingAdvanced analysis, model development, research, complex problem-solving
Employer & Industry UsageTech companies, finance, healthcare, retailTech firms, research institutions, large enterprises

The main difference is that Junior Ai Data Analysts focus on basic data analysis and supporting AI projects, while Data Scientists develop complex models and perform advanced analytics. Junior roles are ideal for those starting in AI, whereas Data Scientists handle more sophisticated tasks requiring deeper expertise.

More about Junior Ai Data Analyst jobs
What cities are hiring for Junior Ai Data Analyst jobs? Cities with the most Junior Ai Data Analyst job openings:
What are the most commonly searched types of Ai Data Analyst jobs? The most popular types of Ai Data Analyst jobs are:
What states have the most Junior Ai Data Analyst jobs? States with the most job openings for Junior Ai Data Analyst jobs include:
What job categories do people searching Junior Ai Data Analyst jobs look for? The top searched job categories for Junior Ai Data Analyst jobs are:
Junior Ai Data Analyst jobs near you
Infographic showing various Junior Ai Data Analyst job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $79,352 per year, or $38.1 per hour.
AI Data Analyst

AI Data Analyst

RELX Group plc

Alpharetta, GA • On-site

Full-time

Medical, Life

Posted 5 days ago

Job description

Are you passionate about improving data quality and readiness to unlock the full potential of AI solutions?
Do you enjoy collaborating across teams to ensure data is structured, governed, and usable for intelligent systems?
About the Business:
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below,
https://risk.lexisnexis.com
About the Team:
We are a newly formed Enterprise AI team focused on enabling agent-based solutions across the organization. We build and manage the environments, platforms, and guardrails that allow teams to create, test, and scale AI agents safely and efficiently turning experimentation into real business impact.
We're a team of curious builders and operators who are constantly exploring, learning, and applying new AI tools and approaches to solve real-world problems and improve how work gets done.
About the Role:
We are seeking an AI Data Analyst to support teams in preparing and maintaining AI-ready data for use in AI tools, copilots, and intelligent agents. This role focuses on data readiness, quality, metadata, and governance, helping teams understand how to structure, document, and manage their data so it can be safely and effectively used by AI systems.
The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own end-to-end data pipelines and is not expected to be a deep technical expert in RAG or embeddings, but should have a solid working understanding of AI-driven data needs.
Responsibilities:
AI Data Readiness Support
  • Work with product and delivery teams to assess whether datasets and content are fit for AI use cases.
  • Help teams understand and apply AI data readiness standards, including quality, freshness, metadata, and access expectations.
  • Identify common data issues that impact AI outcomes (e.g., stale data, unclear ownership, missing metadata) and recommend remediation steps.
  • Contribute to repeatable checklists, guidance, or documentation that help teams prepare data for AI.

Data Quality & Relevance
  • Support data quality checks focused on accuracy, completeness, consistency, and timeliness for AI-consumed data.
  • Assist in monitoring and validating data freshness and relevance, escalating issues to engineering or data owners as needed.
  • Help teams improve data clarity and usability to reduce ambiguity in AI outputs.

Metadata & Semantic Enablement
  • Assist teams in improving metadata, documentation, and business descriptions so AI systems can better interpret content.
  • Support basic semantic labeling or categorization efforts that improve AI retrieval and reasoning (in coordination with engineering teams).
  • Promote good content hygiene practices (clear structure, consistent naming, well-scoped documents).

AI Data Sources & Retrieval (Support Role)
  • Support the upkeep and documentation of approved data sources used by AI solutions.
  • Help ensure data included in AI retrieval scenarios is appropriate, governed, and up to date.
  • Collaborate with AI and platform teams on data inclusion/exclusion decisions without owning technical implementation.

Governance, Lineage & Compliance Awareness
  • Help teams align AI-consumed data with enterprise governance requirements, including classification, access controls, and retention.
  • Support basic data lineage and ownership documentation for AI-relevant datasets.
  • Partner with governance and security teams by surfacing risks or gaps; does not act as final approval authority.

What This Role Does Not Own
  • Does not design or own end-to-end production data pipelines.
  • Does not act as the primary technical owner for RAG frameworks, vector databases, or embedding strategies.
  • Does not make final governance or compliance decisions independently.

Requirements:
  • Proven experience in data analysis, analytics engineering, data operations, or data quality roles.
  • Good understanding of data quality principles and how poor data impacts downstream systems.
  • Experience working with structured and unstructured data (tables, files, documents, knowledge assets).
  • Proficiency in SQL and comfort investigating data issues.
  • Familiarity with data governance fundamentals (classification, access controls, ownership, retention).
  • Strong communication skills and ability to explain data concepts to non-technical stakeholders.

Preferred Qualifications
  • Exposure to AI-enabled products, copilots, or search-based solutions.
  • Basic familiarity with AI data concepts such as semantic search, embeddings, or retrieval patterns.
  • Experience working in enterprise or regulated environments.
  • Experience contributing to standards, playbooks, or shared data practices.

What Success Looks Like
  • Teams can reliably prepare datasets that meet AI readiness expectations with less rework.
  • AI solutions benefit from more relevant, up-to-date, and understandable data.
  • Clear ownership and documentation exist for data used by AI systems.
  • Strong collaboration between delivery teams, data engineering, and governance.

Working for You:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
  • Medical Inpatient and Outpatient Insurance: Coverage for your healthcare needs.
  • Life Assurance Policies: Providing financial security for your loved ones.
  • Modern Family Benefits: Support for maternity, paternity, and adoption needs.
  • Long Service Award: Recognition for your dedication and loyalty.
  • Celebratory Allowance/Gifts: Marking special occasions to celebrate with you.
  • Flexible Benefits Plan : Offering you wider choice of services and products
  • Employee Assistance Program : Access support for personal and work-related challenges.
  • Flexible Working Arrangements: Balance work and personal life effectively.
  • Access to Learning and Development Resources: Empowering your professional growth.

Risk benefit statement
Learn more about the LexisNexis Risk team and how we work: https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000
U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates.If performed in Ohio, the base pay range is $74,900 - $124,700.This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
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We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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